01618nam 2200397 450 991071374360332120201127062147.0(CKB)5470000002504249(OCoLC)1181958869(EXLCZ)99547000000250424920200803d2019 ua 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierData-driven load diversity and variability modeling for quasi-static time-series simulation on distribution feeders preprint /Xiangqi Zhu and Barry MatherGolden, CO :National Renewable Energy Laboratory,2019.1 online resource (5 pages) color illustrationsNREL/CP ;5D00-73146Presented at the 2019 IEEE Power and Energy Society General Meeting (IEEE PES GM), 4-8 August 2019, Atlanta, Georgia."October 2019."Includes bibliographical references.Data-driven load diversity and variability modeling for quasi-static time-series simulation on distribution feeders Electric power distributionTime-series analysisElectric power distribution.Time-series analysis.Zhu Xiangqi1392247National Renewable Energy Laboratory (U.S.),GPOGPOBOOK9910713743603321Data-driven load diversity and variability modeling for quasi-static time-series simulation on distribution feeders3497313UNINA